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table-generation

Convert JSON/CSV experimental results into publication-ready LaTeX tables.

4|1|Updated Apr 8, 2026
Search Tags:#automation#data#json#csv#latex#publication#table
One-click install
npx skills add https://github.com/ARAVINDAN20/Claude-Research-Paper-OS --skill table-generation-aravindan20
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: table-generation
Source: https://github.com/ARAVINDAN20/Claude-Research-Paper-OS/tree/main/.claude/skills/agent-research-skills/skills/table-generation
Command: npx skills add https://github.com/ARAVINDAN20/Claude-Research-Paper-OS --skill table-generation-aravindan20

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

## What problem does it solve? Convert experimental results into publication-ready LaTeX tables for academic papers and reports.

## Core Features & Use Cases

  • Generate well-formatted tables from JSON/CSV data for comparison, ablation, descriptive, and multi-dataset layouts.
  • Automatically bold the best results and optionally underline runner-ups to improve readability.
  • Provide LaTeX-ready templates and guidance (booktabs, multirow, threeparttable) for seamless integration.

Quick Start

Run the results_to_table.py script with your data file to generate a LaTeX table.

Frequently Asked Questions about table-generation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I convert JSON or CSV experimental results into LaTeX tables for publication?▼

To convert experimental results into LaTeX tables, you can process your JSON or CSV inputs through a Python script that automatically formats the data using publication-ready templates like booktabs and multirow. This generates comparison, ablation, and descriptive statistics tables ready for academic papers.

Can I automatically bold the best results in a LaTeX table generated from CSV data?▼

Yes, you can automatically bold the best results and optionally underline runner-ups when generating LaTeX tables from CSV data. This automated formatting feature improves readability by highlighting top experimental performances directly within the generated table structure.

Does this LaTeX table generation method support booktabs, multirow, and threeparttable packages?▼

This LaTeX table generation method fully supports booktabs, multirow, and threeparttable packages. It provides LaTeX-ready templates and formatting guidance that integrate these packages to ensure proper layout for multi-dataset comparison and ablation tables.

What is the best way to create ablation study tables from JSON for an academic paper?▼

The best way to create ablation study tables from JSON is to use an automated conversion script that transforms structured experimental data directly into LaTeX code. This approach applies standard academic formatting rules to produce publication-ready descriptive and comparison tables.

Do I need any specific Python dependencies to generate publication-ready LaTeX tables from my data?▼

You do not need any specific external dependencies listed to generate publication-ready LaTeX tables from your data. The Skill operates independently using internal scripts and references to process your JSON or CSV files into formatted LaTeX output.

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